Publication
Dual mode control strategy for the energy efficiency of complex and flexible manufacturing systems
Journal Article (2020)
Journal
Journal of Manufacturing Systems
Pages
104-116
Volume
56
Doc link
https://doi.org/10.1016/j.jmsy.2020.05.009
File
Abstract
The manufacturing industry is shifting towards smart manufacturing, in which both energy efficiency and flexibility are some of the main objectives of this digital transformation. In this regard, the control strategies for manufacturing systems should be able to support the requirements of this transformation with a low computational burden towards their implementation in real time. To this end, in this paper, a dual mode control strategy based on two control approaches is proposed to minimise the energy consumption of manufacturing systems without affecting their productivity, even when scenarios of flexible manufacturing are considered. The first control mode is based on model predictive control to determine an optimisation-based strategy for the constrained behaviour of the system. Then, the second mode builds on the assumption that the system exhibits a periodic behaviour and, thus, it will be able to switch to an autonomous control mode that avoids the resolution of an optimisation problem online. The proposed control strategy is tested in a manufacturing process line in which changes in the production programs are considered with the aim to test the performance in flexible manufacturing scenarios. The obtained results show that the computational burden could be significantly reduced while reducing global energy consumption without affecting the system productivity.
Categories
predictive control.
Author keywords
Dual mode control strategy, Model predictive control, Mixed-integer linear programming, Smart manufacturing systems, Flexible manufacturing
Scientific reference
J.L. Diaz, C. Ocampo-Martínez and S. Olaru. Dual mode control strategy for the energy efficiency of complex and flexible manufacturing systems. Journal of Manufacturing Systems, 56: 104-116, 2020.
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